Exploration of Techniques to Assess Soft Errors in Multicore Architectures

Emerging electronic computing systems are becoming more vulnerable to the occurrence of soft errors in different system components (e.g., processors, memory, GPUs). To assess more useful information of the soft error reliability of multicore systems, this work proposes the extension of a fault injection framework, by including tools to trace and profile applications behavior under the presence of faults. Our approach is up to 10 times faster than simply parsing the application's disassembly, and it can show that, when affected by a fault, memory instructions are one of the safest in terms of crashing.